Triple

T30125371
Position Surface form Disambiguated ID Type / Status
Subject PCSO E765679 entity
Predicate regulatingLegislation P3136 FINISHED
Object Police Reform Act 2002 NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Police Reform Act 2002 | Statement: [PCSO, regulatingLegislation, Police Reform Act 2002]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatingLegislation
Context triple: [PCSO, regulatingLegislation, Police Reform Act 2002]
  • A. enablingLegislationFor
    Indicates that one piece of legislation provides the legal authority, framework, or permission necessary for another law, program, or action to exist or operate.
  • B. relatedLegislation chosen
    Indicates that there exists a legislative document that is connected to, affects, or is otherwise relevant to the subject entity.
  • C. relatedRegulation
    Indicates that there exists a regulatory rule, law, or directive that is associated with, governs, or is otherwise relevant to the referenced entity or activity.
  • D. significantLegislation
    Indicates that a piece of legislation has substantial importance or impact within a legal, political, or social context.
  • E. typeOfLegislation
    Indicates the specific category or kind of legislation that a given legal act or measure belongs to.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f2247716748190ae4f16998f49ddf1 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fbaebc8f2c8190b94f1b4a3ec92e8c completed May 6, 2026, 9:12 p.m.
PD Predicate disambiguation batch_69fbadf1e6008190a71bbd196ba06844 completed May 6, 2026, 9:09 p.m.
Created at: April 29, 2026, 7:14 p.m.